SUCCESS STORY
A thin-file lender drives profitability by improving credit risk model accuracy by 20 GINI points
Within 2 months, credit card approvals increased by 8% while gross credit losses decreased by 5%
Digital lender in the Middle East provisioning credit cards to blue collar workers
Country: United Arab Emirates
Company Size: 500 – 1,000 Employees
Type: Fintech, Retail Lending
Products: Credit Cards
Results after 3 months
<1 week
to develop and deploy new credit models
8%
Increase in Approvals which reversed rejection rates
The Challenge
A digital lender in the Middle East was struggling to reverse high rejection rates and high first month default rates. Credit Bureau information was limited for their target segment of blue-collar workers, resulting in low accuracy credit risk models, which took 6 months to develop and deploy.
The Solution — creditX
The Results
+20 pts
Increase in GINI accuracy
< 1 week
to develop & deploy new credit models
+8%
Increase in approval rates
-5%
Reduction in gross credit losses
High Return of Investment
Within 2 months of using creditX, our customer gained an ROI of 17X and increased profitability resulting from the combination of more loans disbursed and lower loss rates.
Higher Operating Efficiency
The end-to-end process of developing and deploying credit models used to take 6 months and involved a team of 8 persons. It is now managed by 2 persons and takes less than a week to complete, allowing the team to focus on other value-adding projects.
“A game-changer”
finbots.ai’s solution, creditX, is a game changer in credit modelling that supports our Bank’s digital transformation journey.
– Ti Eng Hui, CEO, Baiduri Bank
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